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SVP, Data Science

PennyMac Loan Services, LLC

This is a Full-time position in Phoenix, AZ posted March 27, 2021.

nnOverviewnn nnOversee a large team of Data Scientists responsible for building critical Machine Learning models that enhance the company’s profitability, improve our customers’ experiences, and better our ability to measure and manage risk.

Utilize your skills as an experienced Data Scientist to lead a team to extract valuable business insights, translate those insights into real world benefits, and communicate the results to the executive team.nn nnCollaborate with business domain subject matter experts in various departments to understand the problem and the objectives. Identify valuable data sources, and work with our IT team to collect such data.Undertake preprocessing of structured and unstructured dataAnalyze large amounts of information to discover trends and patternsResearch and devise innovative statistical models for data analysisBuild predictive models, utilizing machine-learning algorithms such as neural networks, SVM’s, and boosting methodsCombine models through ensemble techniquesPresent information using data visualization techniquesPropose and synthesize data science strategies to solve real world business problemsEnsure solutions are practical, feasible to implement, and able to achieve objectivesManage a large team of senior and junior data scientists working on an array of potentially diverse problems Broad and deep knowledge of the mortgage banking businessnn nnIdeal Candidate will have the following:nn nnGraduate degree in Computer Science, Engineering, Applied Math or related discipline; graduate degree in Data Science or other quantitative field highly preferredProven experience as a Senior or Principal Data ScientistMore than 10 years of experience in data mining, machine learning, neural networks or other data science techniqueMore than 7 years of experience leading teams of data scientistsStrong proficiency with R, SQL, and Python including the Tensorflow, Keras, and XGBoost libraries.  Experience with Excel and PowerPoint Strong quantitative, math, and problem solving skillsExcellent communication and presentation skillsStrong business acumen and ability to interface effectively with executive managementCurious and creative mind that seeks continuous improvementStrong leadership skillsnn